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. 2021 May 12;11:10129. doi: 10.1038/s41598-021-89064-z

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Across-block learning in four participants. From upper left to bottom right: AA4, stereo-anomalous anisometric; AS4, stereo-anomalous strabismic; N7, stereo-normal; AMS1, stereo-anomalous with micro strabismus. Each graph shows the exponential fit of the end-block depth error in the three conditions: Condition 1, blue dashed line; Condition 2, blue dotted line; Condition 3, dark continuous line. Although N7 performed 60 blocks of training, only first 45 blocks are represented to facilitate comparison.